"""Control plot style and scaling using the matplotlib rcParams interface.""" import warnings import functools from distutils.version import LooseVersion import matplotlib as mpl from cycler import cycler from . import palettes __all__ = ["set_theme", "set", "reset_defaults", "reset_orig", "axes_style", "set_style", "plotting_context", "set_context", "set_palette"] _style_keys = [ "axes.facecolor", "axes.edgecolor", "axes.grid", "axes.axisbelow", "axes.labelcolor", "figure.facecolor", "grid.color", "grid.linestyle", "text.color", "xtick.color", "ytick.color", "xtick.direction", "ytick.direction", "lines.solid_capstyle", "patch.edgecolor", "patch.force_edgecolor", "image.cmap", "font.family", "font.sans-serif", "xtick.bottom", "xtick.top", "ytick.left", "ytick.right", "axes.spines.left", "axes.spines.bottom", "axes.spines.right", "axes.spines.top", ] _context_keys = [ "font.size", "axes.labelsize", "axes.titlesize", "xtick.labelsize", "ytick.labelsize", "legend.fontsize", "axes.linewidth", "grid.linewidth", "lines.linewidth", "lines.markersize", "patch.linewidth", "xtick.major.width", "ytick.major.width", "xtick.minor.width", "ytick.minor.width", "xtick.major.size", "ytick.major.size", "xtick.minor.size", "ytick.minor.size", ] if LooseVersion(mpl.__version__) >= "3.0": _context_keys.append("legend.title_fontsize") def set_theme(context="notebook", style="darkgrid", palette="deep", font="sans-serif", font_scale=1, color_codes=True, rc=None): """ Set aspects of the visual theme for all matplotlib and seaborn plots. This function changes the global defaults for all plots using the :ref:`matplotlib rcParams system `. The themeing is decomposed into several distinct sets of parameter values. The options are illustrated in the :doc:`aesthetics <../tutorial/aesthetics>` and :doc:`color palette <../tutorial/color_palettes>` tutorials. Parameters ---------- context : string or dict Scaling parameters, see :func:`plotting_context`. style : string or dict Axes style parameters, see :func:`axes_style`. palette : string or sequence Color palette, see :func:`color_palette`. font : string Font family, see matplotlib font manager. font_scale : float, optional Separate scaling factor to independently scale the size of the font elements. color_codes : bool If ``True`` and ``palette`` is a seaborn palette, remap the shorthand color codes (e.g. "b", "g", "r", etc.) to the colors from this palette. rc : dict or None Dictionary of rc parameter mappings to override the above. Examples -------- .. include:: ../docstrings/set_theme.rst """ set_context(context, font_scale) set_style(style, rc={"font.family": font}) set_palette(palette, color_codes=color_codes) if rc is not None: mpl.rcParams.update(rc) def set(*args, **kwargs): """ Alias for :func:`set_theme`, which is the preferred interface. This function may be removed in the future. """ set_theme(*args, **kwargs) def reset_defaults(): """Restore all RC params to default settings.""" mpl.rcParams.update(mpl.rcParamsDefault) def reset_orig(): """Restore all RC params to original settings (respects custom rc).""" from . import _orig_rc_params with warnings.catch_warnings(): warnings.simplefilter('ignore', mpl.cbook.MatplotlibDeprecationWarning) mpl.rcParams.update(_orig_rc_params) def axes_style(style=None, rc=None): """ Get the parameters that control the general style of the plots. The style parameters control properties like the color of the background and whether a grid is enabled by default. This is accomplished using the :ref:`matplotlib rcParams system `. The options are illustrated in the :doc:`aesthetics tutorial <../tutorial/aesthetics>`. This function can also be used as a context manager to temporarily alter the global defaults. See :func:`set_theme` or :func:`set_style` to modify the global defaults for all plots. Parameters ---------- style : None, dict, or one of {darkgrid, whitegrid, dark, white, ticks} A dictionary of parameters or the name of a preconfigured style. rc : dict, optional Parameter mappings to override the values in the preset seaborn style dictionaries. This only updates parameters that are considered part of the style definition. Examples -------- .. include:: ../docstrings/axes_style.rst """ if style is None: style_dict = {k: mpl.rcParams[k] for k in _style_keys} elif isinstance(style, dict): style_dict = style else: styles = ["white", "dark", "whitegrid", "darkgrid", "ticks"] if style not in styles: raise ValueError("style must be one of %s" % ", ".join(styles)) # Define colors here dark_gray = ".15" light_gray = ".8" # Common parameters style_dict = { "figure.facecolor": "white", "axes.labelcolor": dark_gray, "xtick.direction": "out", "ytick.direction": "out", "xtick.color": dark_gray, "ytick.color": dark_gray, "axes.axisbelow": True, "grid.linestyle": "-", "text.color": dark_gray, "font.family": ["sans-serif"], "font.sans-serif": ["Arial", "DejaVu Sans", "Liberation Sans", "Bitstream Vera Sans", "sans-serif"], "lines.solid_capstyle": "round", "patch.edgecolor": "w", "patch.force_edgecolor": True, "image.cmap": "rocket", "xtick.top": False, "ytick.right": False, } # Set grid on or off if "grid" in style: style_dict.update({ "axes.grid": True, }) else: style_dict.update({ "axes.grid": False, }) # Set the color of the background, spines, and grids if style.startswith("dark"): style_dict.update({ "axes.facecolor": "#EAEAF2", "axes.edgecolor": "white", "grid.color": "white", "axes.spines.left": True, "axes.spines.bottom": True, "axes.spines.right": True, "axes.spines.top": True, }) elif style == "whitegrid": style_dict.update({ "axes.facecolor": "white", "axes.edgecolor": light_gray, "grid.color": light_gray, "axes.spines.left": True, "axes.spines.bottom": True, "axes.spines.right": True, "axes.spines.top": True, }) elif style in ["white", "ticks"]: style_dict.update({ "axes.facecolor": "white", "axes.edgecolor": dark_gray, "grid.color": light_gray, "axes.spines.left": True, "axes.spines.bottom": True, "axes.spines.right": True, "axes.spines.top": True, }) # Show or hide the axes ticks if style == "ticks": style_dict.update({ "xtick.bottom": True, "ytick.left": True, }) else: style_dict.update({ "xtick.bottom": False, "ytick.left": False, }) # Remove entries that are not defined in the base list of valid keys # This lets us handle matplotlib <=/> 2.0 style_dict = {k: v for k, v in style_dict.items() if k in _style_keys} # Override these settings with the provided rc dictionary if rc is not None: rc = {k: v for k, v in rc.items() if k in _style_keys} style_dict.update(rc) # Wrap in an _AxesStyle object so this can be used in a with statement style_object = _AxesStyle(style_dict) return style_object def set_style(style=None, rc=None): """ Set the parameters that control the general style of the plots. The style parameters control properties like the color of the background and whether a grid is enabled by default. This is accomplished using the :ref:`matplotlib rcParams system `. The options are illustrated in the :doc:`aesthetics tutorial <../tutorial/aesthetics>`. See :func:`axes_style` to get the parameter values. Parameters ---------- style : dict, or one of {darkgrid, whitegrid, dark, white, ticks} A dictionary of parameters or the name of a preconfigured style. rc : dict, optional Parameter mappings to override the values in the preset seaborn style dictionaries. This only updates parameters that are considered part of the style definition. Examples -------- .. include:: ../docstrings/set_style.rst """ style_object = axes_style(style, rc) mpl.rcParams.update(style_object) def plotting_context(context=None, font_scale=1, rc=None): """ Get the parameters that control the scaling of plot elements. This affects things like the size of the labels, lines, and other elements of the plot, but not the overall style. This is accomplished using the :ref:`matplotlib rcParams system `. The base context is "notebook", and the other contexts are "paper", "talk", and "poster", which are version of the notebook parameters scaled by different values. Font elements can also be scaled independently of (but relative to) the other values. This function can also be used as a context manager to temporarily alter the global defaults. See :func:`set_theme` or :func:`set_context` to modify the global defaults for all plots. Parameters ---------- context : None, dict, or one of {paper, notebook, talk, poster} A dictionary of parameters or the name of a preconfigured set. font_scale : float, optional Separate scaling factor to independently scale the size of the font elements. rc : dict, optional Parameter mappings to override the values in the preset seaborn context dictionaries. This only updates parameters that are considered part of the context definition. Examples -------- .. include:: ../docstrings/plotting_context.rst """ if context is None: context_dict = {k: mpl.rcParams[k] for k in _context_keys} elif isinstance(context, dict): context_dict = context else: contexts = ["paper", "notebook", "talk", "poster"] if context not in contexts: raise ValueError("context must be in %s" % ", ".join(contexts)) # Set up dictionary of default parameters texts_base_context = { "font.size": 12, "axes.labelsize": 12, "axes.titlesize": 12, "xtick.labelsize": 11, "ytick.labelsize": 11, "legend.fontsize": 11, } if LooseVersion(mpl.__version__) >= "3.0": texts_base_context["legend.title_fontsize"] = 12 base_context = { "axes.linewidth": 1.25, "grid.linewidth": 1, "lines.linewidth": 1.5, "lines.markersize": 6, "patch.linewidth": 1, "xtick.major.width": 1.25, "ytick.major.width": 1.25, "xtick.minor.width": 1, "ytick.minor.width": 1, "xtick.major.size": 6, "ytick.major.size": 6, "xtick.minor.size": 4, "ytick.minor.size": 4, } base_context.update(texts_base_context) # Scale all the parameters by the same factor depending on the context scaling = dict(paper=.8, notebook=1, talk=1.5, poster=2)[context] context_dict = {k: v * scaling for k, v in base_context.items()} # Now independently scale the fonts font_keys = texts_base_context.keys() font_dict = {k: context_dict[k] * font_scale for k in font_keys} context_dict.update(font_dict) # Override these settings with the provided rc dictionary if rc is not None: rc = {k: v for k, v in rc.items() if k in _context_keys} context_dict.update(rc) # Wrap in a _PlottingContext object so this can be used in a with statement context_object = _PlottingContext(context_dict) return context_object def set_context(context=None, font_scale=1, rc=None): """ Set the parameters that control the scaling of plot elements. This affects things like the size of the labels, lines, and other elements of the plot, but not the overall style. This is accomplished using the :ref:`matplotlib rcParams system `. The base context is "notebook", and the other contexts are "paper", "talk", and "poster", which are version of the notebook parameters scaled by different values. Font elements can also be scaled independently of (but relative to) the other values. See :func:`plotting_context` to get the parameter values. Parameters ---------- context : dict, or one of {paper, notebook, talk, poster} A dictionary of parameters or the name of a preconfigured set. font_scale : float, optional Separate scaling factor to independently scale the size of the font elements. rc : dict, optional Parameter mappings to override the values in the preset seaborn context dictionaries. This only updates parameters that are considered part of the context definition. Examples -------- .. include:: ../docstrings/set_context.rst """ context_object = plotting_context(context, font_scale, rc) mpl.rcParams.update(context_object) class _RCAesthetics(dict): def __enter__(self): rc = mpl.rcParams self._orig = {k: rc[k] for k in self._keys} self._set(self) def __exit__(self, exc_type, exc_value, exc_tb): self._set(self._orig) def __call__(self, func): @functools.wraps(func) def wrapper(*args, **kwargs): with self: return func(*args, **kwargs) return wrapper class _AxesStyle(_RCAesthetics): """Light wrapper on a dict to set style temporarily.""" _keys = _style_keys _set = staticmethod(set_style) class _PlottingContext(_RCAesthetics): """Light wrapper on a dict to set context temporarily.""" _keys = _context_keys _set = staticmethod(set_context) def set_palette(palette, n_colors=None, desat=None, color_codes=False): """Set the matplotlib color cycle using a seaborn palette. Parameters ---------- palette : seaborn color paltte | matplotlib colormap | hls | husl Palette definition. Should be something that :func:`color_palette` can process. n_colors : int Number of colors in the cycle. The default number of colors will depend on the format of ``palette``, see the :func:`color_palette` documentation for more information. desat : float Proportion to desaturate each color by. color_codes : bool If ``True`` and ``palette`` is a seaborn palette, remap the shorthand color codes (e.g. "b", "g", "r", etc.) to the colors from this palette. Examples -------- >>> set_palette("Reds") >>> set_palette("Set1", 8, .75) See Also -------- color_palette : build a color palette or set the color cycle temporarily in a ``with`` statement. set_context : set parameters to scale plot elements set_style : set the default parameters for figure style """ colors = palettes.color_palette(palette, n_colors, desat) cyl = cycler('color', colors) mpl.rcParams['axes.prop_cycle'] = cyl mpl.rcParams["patch.facecolor"] = colors[0] if color_codes: try: palettes.set_color_codes(palette) except (ValueError, TypeError): pass